Materials Cloud is an Open Science Platform offering educational, research, and archiving tools; simulation software and services; and curated and raw data. It is a non-profit service, developed and supported by the Swiss NCCR MARVELand the European H2020 MaX Centre of Excellence, as well as by a number of other partners. Scientific Datais an open access journal focused on a new article type, the ‘Data Descriptor’, which has been specifically designed to publish peer-reviewed research data in an accessible way, so as to facilitate its interpretation and reuse.

Publishing Data Descriptors enables data producers and curators to gain appropriate credit for their work, whilst also promoting reproducible research. The main goals of this journal are tightly aligned with that of Materials Cloud, focusing on making the data publicly accessible and encouraging re-use.

Today, Materials Cloud joins a wide range of data repositories, representing research data from across the entire scientific spectrum. Materials Cloud has been approved by Scientific Data as providing stable archiving and long-term preservation of materials science datasets. From today, researchers now have the opportunity to deposit materials science data to Materials Cloud, whilst submitting a Data Descriptor to Scientific Data. Upon publication, Materials Cloud will ensure the data is made freely accessible and preserved for the long term benefit of the research community.

We’re delighted to be working with Springer Nature on this open initiative. We invite the materials science community to share their data by submitting it to Materials Cloud, gain credit for their data by submitting a Data Descriptor to Scientific Data, and contribute to this exciting open data effort.

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July 3, 2018 Comments Off on Two open positions available for computational materials scientist/software scientists on data and services

Two positions for computational materials scientists/software scientists are available at the Ecole Polytechnique Fédérale de Lausanne (EPFL, Lausanne, Switzerland) in the group of Prof. Nicola Marzari. The positions are funded by the new H2020 MarketPlace project (2018-2022, 9.2 M€) aimed at developing a single entry point for all industrial and academic materials modeling activities in Europe. EPFL will lead the work package on “Data and Modeling Services”.

The hackathon will be an informal brain-storming environment with practical coding sessions on the MaX Centre of Excellence flagship codes (including AiiDA and its plugins, Quantum ESPRESSO, YAMBO, FLEUR, Siesta).

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May 3, 2018 Comments Off on MARVEL interview on the usefulness of AiiDA and Materials Cloud

The NCCR MARVEL has published an interview to prof. Scott Auerbach, where he discusses his vision on why “what MARVEL is doing is a dream come true for researchers in the field”. In particular, he discussed the big advantages that AiiDA and Materials Cloud can give to researchers in the community.

A new AiiDA release v0.12.0 is available! You can find more information at our download page.

This is a minor release with various bug fixes, improvements and the implementation of a caching mechanism. This mechanism allows AiiDA to skip calculations that have already been successfully completed before, for example when rerunning a workchain that crashed at a late stage. With this feature, especially during plugin development, a lot of valuable computer time can be saved. For more details on this new powerful feature of AiiDA, please refer to the documentation

A detailed overview of a all the changes can be found in the change log on GitHub.